Heatmap on google collab

This project generates a high-resolution heatmap of methane production from a CSV dataset, allowing you to visualize emission hotspots clearly. It reads and cleans the raw data, then divides the coordinate space into small spatial “cubes,” aggregating the methane measurements within each cube. The results are plotted as a color-coded heatmap using Python’s matplotlib and seaborn, where brighter colors indicate higher methane rates. Cube size and resolution can be adjusted to balance detail and clarity, producing a pixel-like visualization that highlights areas of concern. The final output is saved as a high-resolution image, making it easy to analyze or share the spatial distribution of methane emissions.

Built With

• matpylot
• pandas
• python
• seaborn